computer-vision-2
Offline surgical phase recognition
3260 papers • 126 benchmarks • 313 datasets
Offline surgical phase recognition: the first 40 videos to train, the last 40 videos to test.
(Image credit: Papersgraph)
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Most implemented papers
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
N. Padoy, A. P. Twinanda, S. Shehata, D. Mutter, J. Marescaux, M. Mathelin•Mon Feb 08 2016
This paper proposes a novel method for phase recognition that uses a convolutional neural network (CNN) to automatically learn features from cholecystectomy videos and that relies uniquely on visual information.
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